# Website Contact Extractor (`krawlify/website-contact-extractor`) Actor Extract emails, phone numbers, and social media links from any website. Perfect for lead generation, sales prospecting, and contact discovery. - **URL**: https://apify.com/krawlify/website-contact-extractor.md - **Developed by:** [Krawlify Krawlify](https://apify.com/krawlify) (community) - **Categories:** Lead generation, SEO tools, Other - **Stats:** 32 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Website Contact Extractor An [Apify Actor](https://apify.com/actors) that crawls websites and extracts contact information including email addresses, phone numbers, and social media profile links. Built with [Crawlee](https://crawlee.dev/) and [Cheerio](https://cheerio.js.org/) for fast, lightweight HTML parsing. ### Features - **Email extraction** — Finds email addresses in page text and `mailto:` links, with filtering for common false positives (image/asset file extensions). - **Phone number extraction** — Detects Indian phone numbers (`+91` format) and international numbers via `tel:` links and regex patterns. - **Social media links** — Extracts profile URLs from Facebook, Twitter/X, LinkedIn, Instagram, and YouTube. - **Smart crawling** — Follows same-domain links to discover contact pages, about pages, and footers automatically. - **Proxy support** — Rotates IP addresses via Apify Proxy to avoid blocking. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `startUrls` | array | *required* | List of website URLs to crawl | | `maxPages` | integer | `10` | Maximum number of pages to crawl per run | | `extractEmails` | boolean | `true` | Extract email addresses | | `extractPhones` | boolean | `true` | Extract phone numbers | | `extractSocials` | boolean | `true` | Extract social media links | #### Example input ```json { "startUrls": [{ "url": "https://example.com" }], "maxPages": 20, "extractEmails": true, "extractPhones": true, "extractSocials": true } ```` ### Output Each result in the dataset represents a page where contacts were found: ```json { "url": "https://example.com/contact", "title": "Contact Us - Example", "emails": ["info@example.com", "support@example.com"], "phones": ["+911234567890", "+14155551234"], "socialLinks": [ "https://facebook.com/example", "https://twitter.com/example", "https://linkedin.com/company/example" ] } ``` Only pages with at least one contact item are saved to keep the dataset clean. ### Usage #### Run locally ```bash apify run -p ``` #### Deploy to Apify ```bash apify login apify push ``` #### Use via API ```bash curl "https://api.apify.com/v2/acts//runs" \ -X POST \ -H "Content-Type: application/json" \ -H "Authorization: Bearer " \ -d '{ "startUrls": [{ "url": "https://example.com" }], "maxPages": 10 }' ``` ### Regex Patterns | Type | Pattern | |------|---------| | Emails | `[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}` | | Indian phones | `(\+91[\-\s]?)?[0]?(91)?[789]\d{9}` | | International phones | `\+?[\d\s\-\(\)]{10,}` | ### Project Structure ``` .actor/ ├── actor.json # Actor configuration and metadata ├── input_schema.json # Input validation and Apify Console form ├── dataset_schema.json # Output dataset structure └── output_schema.json # Output storage reference src/ └── main.js # Crawler and extraction logic Dockerfile # Container image definition ``` ### Resources - [Apify SDK documentation](https://docs.apify.com/sdk/js) - [Crawlee documentation](https://crawlee.dev/) - [Apify Platform documentation](https://docs.apify.com/platform) # Actor input Schema ## `startUrls` (type: `array`): List of website URLs to extract contact information from. ## `maxPages` (type: `integer`): Maximum number of pages to crawl per website. ## `extractEmails` (type: `boolean`): Enable extraction of email addresses from pages. ## `extractPhones` (type: `boolean`): Enable extraction of phone numbers (Indian and international formats). ## `extractSocials` (type: `boolean`): Enable extraction of social media profile links (Facebook, Twitter, LinkedIn, Instagram, YouTube). ## Actor input object example ```json { "startUrls": [ { "url": "https://example.com" } ], "maxPages": 10, "extractEmails": true, "extractPhones": true, "extractSocials": true } ``` # Actor output Schema ## `overview` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://example.com" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("krawlify/website-contact-extractor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://example.com" }] } # Run the Actor and wait for it to finish run = client.actor("krawlify/website-contact-extractor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://example.com" } ] }' | apify call krawlify/website-contact-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=krawlify/website-contact-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Website Contact Extractor", "description": "Extract emails, phone numbers, and social media links from any website. Perfect for lead generation, sales prospecting, and contact discovery.", "version": "0.0", "x-build-id": "OZxjOdWX6fGTYNg7I" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/krawlify~website-contact-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-krawlify-website-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/krawlify~website-contact-extractor/runs": { "post": { "operationId": "runs-sync-krawlify-website-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/krawlify~website-contact-extractor/run-sync": { "post": { "operationId": "run-sync-krawlify-website-contact-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "List of website URLs to extract contact information from.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPages": { "title": "Max Pages", "minimum": 1, "type": "integer", "description": "Maximum number of pages to crawl per website.", "default": 10 }, "extractEmails": { "title": "Extract Emails", "type": "boolean", "description": "Enable extraction of email addresses from pages.", "default": true }, "extractPhones": { "title": "Extract Phone Numbers", "type": "boolean", "description": "Enable extraction of phone numbers (Indian and international formats).", "default": true }, "extractSocials": { "title": "Extract Social Links", "type": "boolean", "description": "Enable extraction of social media profile links (Facebook, Twitter, LinkedIn, Instagram, YouTube).", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```